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Design and Implementation of Automatic Underwater Multi-target Detection based on RESAN

机译:基于Resan的自动水下多目标检测设计与实现

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摘要

Programmed ocean surface protest identification and following for safe self-sufficient submerged vehicle and submarine surfacing is a basic issue in connection to the mischance announced in the most recent decades. Here, we propose an effective device to identify and track ocean surface impediments by preparing forward-looking sonar pictures. The proposed technique can identify either still or moving items with and without wake. Recognition and following stages trade data keeping in mind the end goal to diminish the quantity of false alerts. Promising outcomes are gotten utilizing genuine information gathered adrift with different items and situations. This study goes for planning an underground question discovery on Raspberry Pi in view of Linux stage.
机译:编程的海洋表面抗议识别和追随安全的自给淹没的车辆和潜艇浮出水面是最近几十年内宣布的经济学相关的基本问题。 在这里,我们提出了一种有效的装置,通过准备前瞻性声纳照片来识别和跟踪海洋表面障碍。 所提出的技术可以识别静止或移动物品,没有唤醒。 识别和以下阶段贸易数据牢记最终目标,以减少虚假警报的数量。 有希望的结果利用了与不同的物品和情况收集的真正信息。 本研究鉴于Linux阶段,计划在Raspberry PI上计划发现地下问题。

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